dr inż. Andrzej Sobecki
Employment
- Zastępca kanclerza ds. informatycznych at Chancellor's Office
- Pełnomocnik Rektora ds.stos.syst.antyplagiatowych at Gdańsk University of Technology
- Assistant professor at Department of Computer Architecture
Research fields
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- andrzej.sobecki@pg.edu.pl
Zastępca kanclerza ds. informatycznych
- Workplace
-
Gmach Główny
room 215 open in new tab - Phone
- +48 58 347 17 44
- andrzej.sobecki@pg.edu.pl
Assistant professor
- Workplace
-
Budynek A Elektroniki
room EA 516 open in new tab - Phone
- +48 58 347 12 30
- andrzej.sobecki@pg.edu.pl
Publication showcase
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The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process
This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in...
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Practical I-Voting on Stellar Blockchain
In this paper, we propose a privacy-preserving i-voting system based on the public Stellar Blockchain network. We argue that the proposed system satisfies all requirements stated for a robust i-voting system including transparency, verifiability, and voter anonymity. The practical architecture of the system abstracts a voter from blockchain technology used underneath. To keep user privacy, we propose a privacy-first protocol that...
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Deep learning in the fog
In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...
Obtained scientific degrees/titles
-
2017-12-19
Obtained science degree
dr inż. Information science (Technology)
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